In this study, the authors consider a first step to apply memristor devices in a cellular non-linear network (CNN), where the advantages of the non-linearity, nanoscalability and memory effect could be taken into account to implement a 2D-CNN for signal and image processing – Memristors are used in the coupling mode to connect adjacent cells serially. They drive the analytical model describing the transmission of information from one cell to another via memristor, whose description in the – q plane is given, then improved to overcome the problem of discontinuities for some values of the charge . The modified model is then chosen to be continued for all initial conditions and all parameters sets. Moreover, numerical simulations from SPICE and MATLAB software confirm the authors’ analytical predictions.

中文翻译：

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二维非线性网络中细胞通信中的忆阻器动力学

在这项研究中，作者考虑了将忆阻器器件应用于蜂窝非线性网络（CNN）的第一步，其中可以考虑非线性，纳米可扩展性和存储效应的优势，以实现2D-CNN信号和图像处理–忆阻器在耦合模式下用于串行连接相邻单元。他们驱动分析模型，描述通过忆阻器将信息从一个单元传输到另一个单元的过程，其描述在 – q 给出平面，然后进行改进以克服某些电荷值的不连续性问题 。然后，针对所有初始条件和所有参数集，选择修改后的模型以继续。而且，来自SPICE和MATLAB软件的数值模拟证实了作者的分析预测。